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Bombay High Court July 2024 landmark judgment granting interim injunction against unauthorized AI voice cloning of renowned singer's vocal identity. India AI Regulation Landscape 101 This is a simple regulatory tracker consisting all information on how India is regulating artificial intelligence as a technology, inspired from a seminal paper authored by Abhivardhan and Deepanshu Singh for the Forum of Federations, Canada, entitled, "Government with Algorithms: Managing AI in India’s Federal System – Number 70 ". We have also included case laws along with regulatory / governance documents, and avoided adding any industry documents or policy papers which do not reflect any direct or implicit legal impact. Arijit Singh v. Codible Ventures LLP & Ors., COM IPR SUIT (L) No. 23443 of 2024, Bombay High Court, Judgment dated July 26, 2024 Bombay High Court July 2024 landmark judgment granting interim injunction against unauthorized AI voice cloning of renowned singer's vocal identity. Previous Next July 2024 Issuing Authority Bombay High Court Type of Legal / Policy Document Judicial Pronouncements - National Court Precedents Status In Force Regulatory Stage Regulatory Binding Value Legally binding instruments enforceable before courts Read the Document AI Regulation Visualisation Related Long-form Insights on IndoPacific.App Regularizing Artificial Intelligence Ethics in the Indo-Pacific [GLA-TR-002] Learn More Impact-Based Legal Problems around Generative AI in Publishing, IPLR-IG-010 Learn More Indo-Pacific Research Ethics Framework on Artificial Intelligence Use [IPac AI] Learn More The Global AI Inventorship Handbook, First Edition [RHB-AI-INVENT-001-2025] Learn More Related draft AI Law Provisions of aiact.in Section 21 – Intellectual Property Protections Section 21 – Intellectual Property Protections

Synthetic Confidence Date of Addition 8 May 2025 Synthetic confidence is the deceptive phenomenon where generative AI systems, particularly large language models (LLMs), produce fluent, authoritative outputs that mimic reasoning and certainty but often diverge from truth or accurate causality. Trained on vast, partially untraceable datasets to prioritise persuasiveness over veracity, these models generate convincing responses that mask reasoning failures and hallucinations—nonsensical or inaccurate outputs stemming from factors like overfitting, training data bias, and high model complexity. This artificially generated appearance of competence creates an illusion of control and understanding, obscuring the unpredictable and opaque nature of AI systems and their potential to propagate fluent misinformation. Sources OpenAI o3 and o4-mini System Card, April 16, 2025 The Urgency of Interpretability, April 2025 Analyzing o3 and o4-mini with ARC-AGI, April 22, 2025 The coinage of this term is attributed to Stephen Klein, Founder & CEO of Curiouser.AI , specifically this LinkedIn post . Related Long-form Insights on IndoPacific.App Averting Framework Fatigue in AI Governance [IPLR-IG-013] Learn More Indo-Pacific Research Ethics Framework on Artificial Intelligence Use [IPac AI] Learn More Previous Term Next Term Explainers The Complete Glossary terms of use This glossary of terms is provided as a free resource for educational and informational purposes only. By using this glossary developed by Indic Pacific Legal Research LLP (referred to as 'The Firm'), you agree to the following terms of use: You may use the glossary for personal and non-commercial purposes only. If you use any content from the glossary of terms on this website in your own work, you must properly attribute the source. This means including a link to this website and citing the title of the glossary. Here is a sample format to cite this glossary (we have used the OSCOLA citation format as an example): Indic Pacific Legal Research LLP, 'TechinData.in Explainers' (Indic Pacific Legal Research , 2023) You are not authorised to reproduce, distribute, or modify the glossary without the express written permission of a representative of Indic Pacific Legal Research. The Firm makes no representations or warranties about the accuracy or completeness of the glossary. The glossary is provided on an "as is" basis and the Firm disclaims all liability for any errors or omissions in the glossary. You agree to indemnify and hold the Firm harmless from any claims or damages arising out of your use of the glossary. If you have any questions or concerns about these terms of use, please contact us at global@indicpacific.com

Liked our Work? Search it now on IndoPacific.App Get Searching Our Research Know more about our Knowledge Base, years of accumulated and developed in-house research at Indic Pacific Legal Research. Search our Research Treasure on IndoPacific.App. :) Reimaging and Restructuring MeiTY for India [IPLR-IG-007] Get this Publication 2024 ISBN 978-81-972625-0-0 Author(s) Bhavya Singh, Harinandana V Editor(s) Abhivardhan, Bhavana J Sekhar, Pratejas Tomar IndoPacific.App Identifier (ID) IPLR-IG-007 Tags Abhivardhan, AI regulation, blockchain regulation, compliance costs, cyber security, Data Protection, digital governance, digital infrastructure, Digital Transformation, e-governance, Emerging technologies, ethical governance, Indian Artificial Intelligence Council, Indian Technology Commission, institutional capacity, IoT regulation, MeitY reforms, quantum computing, regulatory burden, technology governance models, Technology Law Tribunal, Technology Policy, technology R&D, transparent governance, whole-of-government approach Related Terms in Techindata.in Explainers Definitions - A - E AI as a Component AI as a Concept AI as an Industry AI as a Juristic Entity AI as a Legal Entity AI as an Object AI as a Subject AI Knowledge Chain AI Literacy AI Supply Chain AI Value Chain AI Workflows AI-based Anthropomorphization Accountability Artificial Intelligence Hype Cycle Automation Definitions - F - J Intended Purpose / Specified Purpose Definitions - K - P Object-Oriented Design Omnipotence Omnipresence Performance Effect Privacy by Default Definitions - Q - U Technical concept classifcation Technology by Default Technology by Design Technology Distancing Technology Transfer Definitions - V - Z Whole-of-Government Response Related Articles in Techindata.in Insights 29 Insight(s) on AI Ethics 8 Insight(s) on AI and Copyright Law 7 Insight(s) on AI and Competition Law 7 Insight(s) on AI and media sciences 7 Insight(s) on AI regulation 5 Insight(s) on AI Governance 3 Insight(s) on AI and Evidence Law 3 Insight(s) on AI literacy 2 Insight(s) on Abhivardhan 2 Insight(s) on AI and Intellectual Property Law 1 Insight(s) on AI and Securities Law 1 Insight(s) on Algorithmic Trading . Previous Item Next Item

Zero Knowledge Systems Date of Addition 26 April 2024 Zero-knowledge systems (ZKSs) are cryptographic protocols that allow one party (the prover) to prove to another party (the verifier) that a statement is true, without revealing any information about the statement itself or how it is proven. ZKSs are based on the idea that it is possible to prove the possession of knowledge without revealing the knowledge itself. This was discussed in Reinventing & Regulating Policy Use Cases of Web3 for India, VLiGTA-TR-004 (2023). Related Long-form Insights on IndoPacific.App Reinventing & Regulating Policy Use Cases of Web3 for India [VLiGTA-TR-004] Learn More Normative Emergence in Cyber Geographies: International Algorithmic Law in a Multipolar Technological Order, First Edition Learn More Next Term Previous Term Explainers The Complete Glossary terms of use This glossary of terms is provided as a free resource for educational and informational purposes only. By using this glossary developed by Indic Pacific Legal Research LLP (referred to as 'The Firm'), you agree to the following terms of use: You may use the glossary for personal and non-commercial purposes only. If you use any content from the glossary of terms on this website in your own work, you must properly attribute the source. This means including a link to this website and citing the title of the glossary. Here is a sample format to cite this glossary (we have used the OSCOLA citation format as an example): Indic Pacific Legal Research LLP, 'TechinData.in Explainers' (Indic Pacific Legal Research , 2023) You are not authorised to reproduce, distribute, or modify the glossary without the express written permission of a representative of Indic Pacific Legal Research. The Firm makes no representations or warranties about the accuracy or completeness of the glossary. The glossary is provided on an "as is" basis and the Firm disclaims all liability for any errors or omissions in the glossary. You agree to indemnify and hold the Firm harmless from any claims or damages arising out of your use of the glossary. If you have any questions or concerns about these terms of use, please contact us at global@indicpacific.com

ICMR's March 2023 guidance establishing ethical framework for AI applications in Indian biomedical research and healthcare sectors. India AI Regulation Landscape 101 This is a simple regulatory tracker consisting all information on how India is regulating artificial intelligence as a technology, inspired from a seminal paper authored by Abhivardhan and Deepanshu Singh for the Forum of Federations, Canada, entitled, "Government with Algorithms: Managing AI in India’s Federal System – Number 70 ". We have also included case laws along with regulatory / governance documents, and avoided adding any industry documents or policy papers which do not reflect any direct or implicit legal impact. The Ethical Guidelines for Application of AI in Biomedical Research and Healthcare ICMR's March 2023 guidance establishing ethical framework for AI applications in Indian biomedical research and healthcare sectors. Previous Next March 2023 Issuing Authority Indian Council of Medical Research (ICMR) Type of Legal / Policy Document Guidance documents with normative influence Status In Force Regulatory Stage Post-regulatory Binding Value Guidance documents with normative influence Read the Document AI Regulation Visualisation Related Long-form Insights on IndoPacific.App Reimaging and Restructuring MeiTY for India [IPLR-IG-007] Learn More Averting Framework Fatigue in AI Governance [IPLR-IG-013] Learn More Decoding the AI Competency Triad for Public Officials [IPLR-IG-014] Learn More AI Bias & the Overlap of AI Diplomacy and Governance Ethics Dilemmas Learn More Artificial Intelligence, Market Power and India in a Multipolar World Learn More Related draft AI Law Provisions of aiact.in Section 11 – Registration & Certification of AI Systems Section 11 – Registration & Certification of AI Systems Section 13 – National Artificial Intelligence Ethics Code Section 13 – National Artificial Intelligence Ethics Code Section 22 – Shared Sector-Neutral & Sector-Specific Standards Section 22 – Shared Sector-Neutral & Sector-Specific Standards

Liked our Work? Search it now on IndoPacific.App Get Searching Our Research Know more about our Knowledge Base, years of accumulated and developed in-house research at Indic Pacific Legal Research. Search our Research Treasure on IndoPacific.App. :) Legal Strategies for Open Source Artificial Intelligence Practices, IPLR-IG-004 Get this Publication 2024 ISBN 978-81-970837-7-8 Author(s) Harshitha Reddy Chukka, Krati Singh Bhadouriya, Sanad Arora, Shresh Kiran Narang, Vaishnavi Singh Editor(s) Abhivardhan IndoPacific.App Identifier (ID) IPLR-IG-004 Tags Abhivardhan, AI Ethics, Artificial Intelligence, Attribution, Best Practices, BSD License, ChatGPT, Collaboration, Commercialization, Compliance, Contracts, Copyright, Data Ownership, Data Protection, Development, Dispute Resolution, Due Diligence, Enforcement, Fair Use, Governance, GPL License, Guidelines, Implementation, Innovation, Innovation Ecosystem, Intellectual Property, IPLR-IG-004, Legal, Legal Advice, Legal Compliance, Legal Framework, Legal Risks, Liability, Licensing, Licensing Agreements, Licensing Models, Licensing Requirements, Licensing Strategies, Litigation, Open Data, Open Source, Patents, Policy, Practices, Privacy, Protection, Regulations, Rights, Risk Management, Security, Software Development, Strategies, Technology, Trade Secrets, Transparency Related Terms in Techindata.in Explainers Definitions - A - E AI as a Component AI as a Concept AI as an Industry AI as a Juristic Entity AI as a Legal Entity AI as an Object AI as a Subject AI Knowledge Chain AI Literacy AI Supply Chain AI Value Chain AI Workflows AI-based Anthropomorphization Accountability Artificial Intelligence Hype Cycle Automation Definitions - F - J Intended Purpose / Specified Purpose Definitions - K - P Language Model Manifest Availability Model Algorithmic Ethics standards (MAES) Multivariant, Fungible & Disruptive Use Cases & Test Cases of Generative AI Object-Oriented Design Proprietary Information Definitions - Q - U Roughdraft AI SOTP Classification Small Language Models Synthetic Content Technical concept classifcation Technology by Default Technology by Design Technology Distancing Technology Transfer Technophobia Definitions - V - Z Whole-of-Government Response Related Articles in Techindata.in Insights 29 Insight(s) on AI Ethics 8 Insight(s) on AI and Copyright Law 7 Insight(s) on AI and Competition Law 7 Insight(s) on AI and media sciences 7 Insight(s) on AI regulation 5 Insight(s) on AI Governance 3 Insight(s) on AI and Evidence Law 3 Insight(s) on AI literacy 2 Insight(s) on Abhivardhan 2 Insight(s) on AI and Intellectual Property Law 1 Insight(s) on AI and Securities Law 1 Insight(s) on Algorithmic Trading . Previous Item Next Item

Liked our Work? Search it now on IndoPacific.App Get Searching Our Research Know more about our Knowledge Base, years of accumulated and developed in-house research at Indic Pacific Legal Research. Search our Research Treasure on IndoPacific.App. :) Promoting Economy of Innovation through Explainable AI [VLiGTA-TR-003] Get this Publication 2023 ISBN 978-81-959932-1-5 Author(s) Abhivardhan, Bhavana J Sekhar, Sanad Arora Editor(s) Not Applicable IndoPacific.App Identifier (ID) VLiGTA-TR-003 Tags Abhivardhan, Accountability, Artificial Intelligence, Business, Decision-making, Economy, Ethics, Explainable AI, Innovation, Interpretable Models, Machine Learning, Promoting, Responsible AI, Technology, Transparency, Trustworthy Systems Related Terms in Techindata.in Explainers Definitions - A - E AI as a Concept AI as an Object AI as a Subject AI as a Third Party Accountability Definitions - F - J Framework Fatigue General intelligence applications with multiple short-run or unclear use cases as per industrial and regulatory standards (GI2) General intelligence applications with multiple stable use cases as per relevant industrial and regulatory standards (GI1) Generative AI applications with a collection of standalone use cases related to one another (GAI2) Intended Purpose / Specified Purpose Definitions - K - P Language Model Manifest Availability Model Algorithmic Ethics standards (MAES) Multivariant, Fungible & Disruptive Use Cases & Test Cases of Generative AI Object-Oriented Design Proprietary Information Definitions - Q - U Roughdraft AI SOTP Classification Synthetic Content Technical concept classifcation Technology by Default Technology by Design Technology Distancing Technology Transfer Technophobia Token Economics Definitions - V - Z Whole-of-Government Response Related Articles in Techindata.in Insights 29 Insight(s) on AI Ethics 8 Insight(s) on AI and Copyright Law 7 Insight(s) on AI and Competition Law 7 Insight(s) on AI and media sciences 7 Insight(s) on AI regulation 5 Insight(s) on AI Governance 3 Insight(s) on AI and Evidence Law 3 Insight(s) on AI Innovation 3 Insight(s) on AI literacy 2 Insight(s) on Abhivardhan 2 Insight(s) on AI and Intellectual Property Law 1 Insight(s) on AI and Securities Law 1 Insight(s) on Algorithmic Trading . Previous Item Next Item

Liked our Work? Search it now on IndoPacific.App Get Searching Our Research Know more about our Knowledge Base, years of accumulated and developed in-house research at Indic Pacific Legal Research. Search our Research Treasure on IndoPacific.App. :) South Asian Review of International Law, Volume 1 Get this Publication 2020 ISBN 978-81-947926-1-1 Author(s) Abhivardhan, Akash Manwani, Alexandru George Mos, Amulya Anil, Daniel Fitzgerald, Deeksha Prakash, Garima Ojha, Mehreen Mander, Nikhil Dongol, Pranshu Gupta, Pratham Sharma, Punishk Handa, R Kavipriyan, Saloni Subanshi, Shamshir Malik, Sulekha Agarwal, Udomo Ali, Vishaka Ramesh, Vishesh Bhatia Editor(s) Abhivardhan, Aryakumari Sailendraja, Bulbul Khaitan, Nikhil Dongol, Sulekha Agarwal, Udomo Ali IndoPacific.App Identifier (ID) SARIL1 Tags Comparative Law., Conflict Resolution, Diplomacy, Governance, Human Rights, International Law, Legal Studies, Policy, Review, South Asia Related Terms in Techindata.in Explainers Definitions - A - E CEI Classification Class-of-Applications-by-Class-of-Application (CbC) approach Definitions - F - J GAE Indo-Pacific International Algorithmic Law Definitions - K - P Multi-alignment Multipolar World Multipolarity Permeable Indigeneity in Policy (PIP) Phenomena-based concept classification Definitions - Q - U Strategic Autonomy Strategic Hedging Technophobia Definitions - V - Z WANA WENA Whole-of-Government Response Related Articles in Techindata.in Insights 4 Insight(s) on Government Affairs 1 Insight(s) on India-US Relations 1 Insight(s) on governance 1 Insight(s) on Indic Pacific 1 Insight(s) on India 1 Insight(s) on strategic sectors . Previous Item Next Item

Section 24 - Employment and Skill Security Standards PUBLISHED Previous Next Section 24 - Employment and Skill Security Standards [***] This is a repealed draft provision. Please click on "Next" to check the next draft provision / section. Related Indian AI Regulation Sources Karnataka Platform-Based Gig Workers (Social Security and Welfare) Ordinance, 2025 May 2025

AI Explainability Clause Explainers The Complete Glossary AI Explainability Clause Date of Addition 5 Mar 2025 A binding requirement that mandates AI system providers and deployers to ensure that significant decisions made or supported by AI systems can be explained in terms comprehensible to affected parties. This includes disclosure of the system's purpose, capabilities, limitations, data sources, decision criteria, potential biases, and the specific roles of human and automated components in the decision-making process. The explainability standard scales with the potential impact of decisions, requiring greater transparency for systems affecting fundamental rights, safety, or significant economic interests. Click here to find a Sample Explainability clause The AI system provider/deployer ("Provider") shall ensure that all significant decisions made or substantially influenced by the AI system ("System") are explainable to affected parties in clear, non-technical language. This explanation shall include, at minimum: The specific purpose and intended use of the System; The types and sources of data used by the System; The key factors or criteria considered in reaching the decision; Any known limitations or potential biases in the System; The respective roles of human oversight and automated processes in the final decision; The potential impact of the decision on the affected party; Available options for contesting or seeking review of the decision. The level of detail provided in the explanation shall be proportionate to the potential impact of the decision on fundamental rights, safety, or significant economic interests of the affected party. The Provider shall maintain documentation of the System's decision-making processes sufficient to generate these explanations upon request. This clause shall be binding and enforceable, with non-compliance potentially resulting in suspension of the System's use until adequate explainability is demonstrated. Related Long-form Insights on IndoPacific.App 2021 Handbook on AI and International Law [RHB 2021 ISAIL] Learn More Regulatory Sandboxes for Artificial Intelligence: Techno-Legal Approaches for India [ISAIL-TR-002] Learn More Deciphering Regulative Methods for Generative AI [VLiGTA-TR-002] Learn More Auditing AI Companies for Corporate Internal Investigations in India, VLiGTA-TR-005 Learn More Artificial Intelligence and Policy in India, Volume 5 [AIPI-V5] Learn More Impact-Based Legal Problems around Generative AI in Publishing, IPLR-IG-010 Learn More Indo-Pacific Research Ethics Framework on Artificial Intelligence Use [IPac AI] Learn More 2020 Handbook on AI and International Law [RHB 2020 ISAIL] Learn More Previous Term Next Term terms of use This glossary of terms is provided as a free resource for educational and informational purposes only. By using this glossary developed by Indic Pacific Legal Research LLP (referred to as 'The Firm'), you agree to the following terms of use: You may use the glossary for personal and non-commercial purposes only. If you use any content from the glossary of terms on this website in your own work, you must properly attribute the source. This means including a link to this website and citing the title of the glossary. Here is a sample format to cite this glossary (we have used the OSCOLA citation format as an example): Indic Pacific Legal Research LLP, 'TechinData.in Explainers' (Indic Pacific Legal Research , 2023) You are not authorised to reproduce, distribute, or modify the glossary without the express written permission of a representative of Indic Pacific Legal Research. The Firm makes no representations or warranties about the accuracy or completeness of the glossary. The glossary is provided on an "as is" basis and the Firm disclaims all liability for any errors or omissions in the glossary. You agree to indemnify and hold the Firm harmless from any claims or damages arising out of your use of the glossary. If you have any questions or concerns about these terms of use, please contact us at global@indicpacific.com

Manipur High Court May 2024 judgment using ChatGPT for legal research on VDF service rules resulting in petitioner's reinstatement. India AI Regulation Landscape 101 This is a simple regulatory tracker consisting all information on how India is regulating artificial intelligence as a technology, inspired from a seminal paper authored by Abhivardhan and Deepanshu Singh for the Forum of Federations, Canada, entitled, "Government with Algorithms: Managing AI in India’s Federal System – Number 70 ". We have also included case laws along with regulatory / governance documents, and avoided adding any industry documents or policy papers which do not reflect any direct or implicit legal impact. Md Zakir Hussain v. State of Manipur, W.P. (C) No. 1080 of 2023 (Manipur High Court, May 23, 2024) Manipur High Court May 2024 judgment using ChatGPT for legal research on VDF service rules resulting in petitioner's reinstatement. Previous Next May 2024 Issuing Authority Manipur High Court Type of Legal / Policy Document Judicial Pronouncements - National Court Precedents Status Enacted Regulatory Stage Miscellaneous Binding Value Legally binding instruments enforceable before courts Read the Document AI Regulation Visualisation Related Long-form Insights on IndoPacific.App Reimaging and Restructuring MeiTY for India [IPLR-IG-007] Learn More Averting Framework Fatigue in AI Governance [IPLR-IG-013] Learn More Decoding the AI Competency Triad for Public Officials [IPLR-IG-014] Learn More AI Bias & the Overlap of AI Diplomacy and Governance Ethics Dilemmas Learn More Artificial Intelligence, Market Power and India in a Multipolar World Learn More Related draft AI Law Provisions of aiact.in Section 3 – Classification of Artificial Intelligence Section 3 – Classification of Artificial Intelligence Section 7 – Risk-centric Methods of Classification Section 7 – Risk-centric Methods of Classification Section 8 – Prohibition of Unintended Risk AI Systems Section 8 – Prohibition of Unintended Risk AI Systems

Technology Distancing Date of Addition 26 April 2024 This refers to the process of creating AI systems that are more transparent, accountable, and equitable. This can be done by involving stakeholders in the design and development of AI systems, and by making sure that AI systems are aligned with human values. Related Long-form Insights on IndoPacific.App 2021 Handbook on AI and International Law [RHB 2021 ISAIL] Learn More Regularizing Artificial Intelligence Ethics in the Indo-Pacific [GLA-TR-002] Learn More Regulatory Sandboxes for Artificial Intelligence: Techno-Legal Approaches for India [ISAIL-TR-002] Learn More Deciphering Artificial Intelligence Hype and its Legal-Economic Risks [VLiGTA-TR-001] Learn More Deciphering Regulative Methods for Generative AI [VLiGTA-TR-002] Learn More Promoting Economy of Innovation through Explainable AI [VLiGTA-TR-003] Learn More Reinventing & Regulating Policy Use Cases of Web3 for India [VLiGTA-TR-004] Learn More Auditing AI Companies for Corporate Internal Investigations in India, VLiGTA-TR-005 Learn More Artificial Intelligence Governance using Complex Adaptivity: Feedback Report, First Edition, 2024 Learn More Legal Strategies for Open Source Artificial Intelligence Practices, IPLR-IG-004 Learn More Artificial Intelligence and Policy in India, Volume 4 [AIPI-V4] Learn More Ethical AI Implementation and Integration in Digital Public Infrastructure, IPLR-IG-005 Learn More The Indic Approach to Artificial Intelligence Policy [IPLR-IG-006] Learn More Reimaging and Restructuring MeiTY for India [IPLR-IG-007] Learn More Artificial Intelligence and Policy in India, Volume 5 [AIPI-V5] Learn More The Legal and Ethical Implications of Monosemanticity in LLMs [IPLR-IG-008] Learn More Navigating Risk and Responsibility in AI-Driven Predictive Maintenance for Spacecraft, IPLR-IG-009, First Edition, 2024 Learn More Impact-Based Legal Problems around Generative AI in Publishing, IPLR-IG-010 Learn More Legal-Economic Issues in Indian AI Compute and Infrastructure, IPLR-IG-011 Learn More Averting Framework Fatigue in AI Governance [IPLR-IG-013] Learn More Decoding the AI Competency Triad for Public Officials [IPLR-IG-014] Learn More Reckoning the Viability of Safe Harbour in Technology Law, IPLR-IG-015 Learn More Indo-Pacific Research Ethics Framework on Artificial Intelligence Use [IPac AI] Learn More NIST Adversarial Machine Learning Taxonomies: Decoded, IPLR-IG-016 Learn More The Global AI Inventorship Handbook, First Edition [RHB-AI-INVENT-001-2025] Learn More Normative Emergence in Cyber Geographies: International Algorithmic Law in a Multipolar Technological Order, First Edition Learn More AI Bias & the Overlap of AI Diplomacy and Governance Ethics Dilemmas Learn More Artificial Intelligence and Policy in India, Volume 6 [AIPI-V6] Learn More Artificial Intelligence, Market Power and India in a Multipolar World Learn More 2020 Handbook on AI and International Law [RHB 2020 ISAIL] Learn More Previous Term Next Term Explainers The Complete Glossary terms of use This glossary of terms is provided as a free resource for educational and informational purposes only. By using this glossary developed by Indic Pacific Legal Research LLP (referred to as 'The Firm'), you agree to the following terms of use: You may use the glossary for personal and non-commercial purposes only. If you use any content from the glossary of terms on this website in your own work, you must properly attribute the source. This means including a link to this website and citing the title of the glossary. Here is a sample format to cite this glossary (we have used the OSCOLA citation format as an example): Indic Pacific Legal Research LLP, 'TechinData.in Explainers' (Indic Pacific Legal Research , 2023) You are not authorised to reproduce, distribute, or modify the glossary without the express written permission of a representative of Indic Pacific Legal Research. The Firm makes no representations or warranties about the accuracy or completeness of the glossary. The glossary is provided on an "as is" basis and the Firm disclaims all liability for any errors or omissions in the glossary. You agree to indemnify and hold the Firm harmless from any claims or damages arising out of your use of the glossary. If you have any questions or concerns about these terms of use, please contact us at global@indicpacific.com